Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Fourie, Jaco, Mills, Steven, Green, Richard (2010) Harmony filter: A robust visual tracking system using the improved harmony search algorithm. Image and Vision Computing, 28 (12). 1702-1716 doi:10.1016/j.imavis.2010.05.006

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleHarmony filter: A robust visual tracking system using the improved harmony search algorithm
JournalImage and Vision Computing
AuthorsFourie, JacoAuthor
Mills, StevenAuthor
Green, RichardAuthor
Year2010 (December)Volume28
Issue12
PublisherElsevier BV
DOIdoi:10.1016/j.imavis.2010.05.006Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID11234544Long-form Identifiermindat:1:5:11234544:4
GUID0
Full ReferenceFourie, Jaco, Mills, Steven, Green, Richard (2010) Harmony filter: A robust visual tracking system using the improved harmony search algorithm. Image and Vision Computing, 28 (12). 1702-1716 doi:10.1016/j.imavis.2010.05.006
Plain TextFourie, Jaco, Mills, Steven, Green, Richard (2010) Harmony filter: A robust visual tracking system using the improved harmony search algorithm. Image and Vision Computing, 28 (12). 1702-1716 doi:10.1016/j.imavis.2010.05.006
In(2010, December) Image and Vision Computing Vol. 28 (12) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Xiao, Yuqi, Wu, Yongjun (2023) Robust visual tracking based on modified mayfly optimization algorithm. Image and Vision Computing, 135. 104691 doi:10.1016/j.imavis.2023.104691
Xiao, Yuqi, Wu, Yongjun (2024) Robust visual tracking via modified Harris hawks optimization. Image and Vision Computing, 144. 104959 doi:10.1016/j.imavis.2024.104959
Qing, Chunmei, Jiang, Jianmin (2010) An EDBoost algorithm towards robust face recognition in JPEG compressed domain. Image and Vision Computing, 28 (12). 1659-1670 doi:10.1016/j.imavis.2010.05.005
Bai, Yancheng, Tang, Ming (2014) Robust visual tracking via augmented kernel SVM. Image and Vision Computing, 32 (8). 465-475 doi:10.1016/j.imavis.2014.04.008
Klein, G.S.W., Drummond, T.W. (2004) Tightly integrated sensor fusion for robust visual tracking. Image and Vision Computing, 22 (10). 769-776 doi:10.1016/j.imavis.2004.02.007
Li, Peihua, Zhang, Tianwen, Ma, Bo (2004) Unscented Kalman filter for visual curve tracking. Image and Vision Computing, 22 (2). 157-164 doi:10.1016/j.imavis.2003.07.004
Nousi, Paraskevi, Tefas, Anastasios, Pitas, Ioannis (2020) Dense convolutional feature histograms for robust visual object tracking. Image and Vision Computing, 99. 103933pp. doi:10.1016/j.imavis.2020.103933
Khim, Sarang, Hong, Sungjin, Kim, Yoonyoung, Rhee, Phill kyu (2014) Adaptive visual tracking using the prioritized Q-learning algorithm: MDP-based parameter learning approach. Image and Vision Computing, 32 (12). 1090-1101 doi:10.1016/j.imavis.2014.08.009
Motamed, Cina (2006) Motion detection and tracking using belief indicators for an automatic visual-surveillance system. Image and Vision Computing, 24 (11). 1192-1201 doi:10.1016/j.imavis.2005.06.005
Shin, Jongju, Kim, Daijin (2016) Robust face alignment and tracking by combining local search and global fitting. Image and Vision Computing, 51. 69-83 doi:10.1016/j.imavis.2016.04.012
Li, Shu-Xiao, Chang, Hong-Xing, Zhu, Cheng-Fei (2010) Adaptive pyramid mean shift for global real-time visual tracking. Image and Vision Computing, 28 (3). 424-437 doi:10.1016/j.imavis.2009.06.012
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 23, 2025 03:02:26
Go to top of page